Control System Engineer

Imubit

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profile Job Location:

Düsseldorf - Germany

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

TL;DR:

Imubit is looking for a top-notch Control System Engineer eager to disrupt process manufacturing industries with breakthrough machine learning technologies.

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About us:

Imubit is redefining how industrial companies around the world adopt and scale enterprise AI adding millions of dollars to plant bottom lines while operating safely within constraints related to energy efficiency and sustainability.

Our AI platform supports real-time optimization across complex nonlinear industrial systems enabling both autonomous and guided decision-making in live production environments. Fortune 500 companies rely on Imubit to continuously improve profitability and sustainability across their most valuable assets.

Backed by Insight Partners Imubit brings together deep domain expertise from companies such as Exxon and Shell with leading AI talent from Google and other top innovators. With teams across the United States and a growing international presence Imubit is transforming operational optimization across industries ranging from refining and aromatics to polymers and LNG liquefaction.

We are looking for:

A resourceful proactive and hard-working Control System Engineer with 5 years of technical expertise. You want to leave your footprint in a complex mission-critical process control environment that will be deployed and maintained by huge enterprise customers. You strive to optimize the deployment process streamline continuous delivery upgrades and improve customer experience. You are passionate about scripting automation and managing configuration. You are a self-motivated well-organized strong communicator who loves learning new domains. You recognize a once-in-a-career opportunity and seize it.

In this role you will:

  • Deliver new capabilities by integrating Imubits AI technology with DCS and other process control systems
  • Develop and execute commissioning procedures for interfaces between AI and conventional process control applications
  • Work with peers and developers to develop a deep understanding of Imubits software and bridge the gap to facilitate reliable integration with client systems
  • Create and drive new initiatives to continuously monitor and improve the interfaces between Imubit and client process control systems as well as enhance remote monitoring capabilities
  • Travel to client sites 10-20%

Qualifications:

  • Must have experience working as a Control System Engineer or Specialist in a refinery or petrochemical plant
  • Control System Engineer or at least 5 years of experience in DCS industry
  • Excellent communication skills
  • At least 5 years experience with one or more of the following Industrial control systems: DeltaV Honeywell Foxboro Yokogawa Allen-Bradley Triconex PLCs or DCSs
  • Developing and commissioning process control applications and logic
  • Writing and executing Factory Acceptance Test and Site Acceptance Test procedures for process control systems
  • Configuring and troubleshooting OPC clients and DCOM connectivity

It would be nice if you had experience with:

  • Process instrumentation
  • Alarm management
  • Linux server and workstation administration (security permissions NTP)
  • Command line interfaces (CLI)
  • Database management (SQL queries backup)
  • Virtualization infrastructure (e.g. VMware ESXi Docker)

Imubit does not accept or retain unsolicited CVs or phone calls and/or respond to them or to any third party representing job seekers.

No visa sponsorship is available for this position.


Required Experience:

IC

TL;DR:Imubit is looking for a top-notch Control System Engineer eager to disrupt process manufacturing industries with breakthrough machine learning technologies..About us:Imubit is redefining how industrial companies around the world adopt and scale enterprise AI adding millions of dollars to plant...
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Boost margins with Imubit’s Industrial AI Optimization platform—real‑time control, predictive insights, and sustainable efficiency.

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